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omrss's Introduction

Online Multicast Routing Simulation System

Simulate TSN and AVB data streams to find the best path in the topology.

Taking advantage of the distinctions between the Schedulability, AVB Worst Case Delay, and Computation Time statistical algorithms.

System design from: https://miro.com/welcomeonboard/ZDI1dEJWWGtsTEhCbWMwSm9oTTVhMTk5Y3BaZE83U0hZVDA1S3ZacHJCUmFVaEhhTzhSV0dNTWNMUWU3Mk11YXwzNDU4NzY0NTc0MzMzMTc0Mjg2fDI=?share_link_id=247038481052

Installation

  • Clone this repo by git clone https://github.com/helgesander02/OMRSS
  • Env setting docker build -t 'omrss' . docker run omrss

Simulation Settings

We consider a typical topology for TSN-based industrial factories

typical_complex typical_simple
alt text alt text
layered_ring ring
alt text alt text

Running

Quickstart: sh output.sh

More options:

Option Description
--test_case Conducting n experiments
--topology_name Topology architecture has typical_complex, typical_simple, ring and layered_ring
--bg_tsn Number of TSN BG flows
--bg_avb Number of AVB BG flows
--input_tsn Number of TSN Input flows
--input_avb Number of AVB Input flows
--HyperPeriod Greatest Common Divisor of Simulated Time LCM
--bandwidth 1 Gbps
--plan_name The plan comprises OMSACO
--osaco_timeout Timeout in milliseconds
--osaco_K Select K trees with different weights
--osaco_P The pheromone value of each routing path starts to evaporate, where P is the given evaporation coefficient (0 <= p <= 1)
--show_network Present all network information comprehensively
--show_plan Provide a comprehensive display of all plan information
--store_data Store all statistical data

Reference

TODO

  • UnitTesting
  • Review Code

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